-
6063Detecting Health Problems Related to Addiction of Video Game Playing Using an Expert SystemWorld Wide Journal of Multidisciplinary Research and Development 2 (9): 7-12. 2016.Today’s everyone normal life can include a normal rate of playing computer games or video games; but what about an excessive or compulsive use of video games that impact on our life? Our kids, who usually spend a lot of time in playing video games will likely have a trouble in paying attention to their school lessons. In this paper, we introduce an expert system to help users in getting the correct diagnosis of the health problem of video game addictions that range from (Musculoskeletal issues, …Read more
-
5961Fraudulent Financial Transactions Detection Using Machine LearningInternational Journal of Academic Information Systems Research (IJAISR) 6 (3): 30-39. 2022.It is crucial to actively detect the risks of transactions in a financial company to improve customer experience and minimize financial loss. In this study, we compare different machine learning algorithms to effectively and efficiently predict the legitimacy of financial transactions. The algorithms used in this study were: MLP Repressor, Random Forest Classifier, Complement NB, MLP Classifier, Gaussian NB, Bernoulli NB, LGBM Classifier, Ada Boost Classifier, K Neighbors Classifier, Logistic Re…Read more
-
5723Diabetes Prediction Using Artificial Neural NetworkInternational Journal of Advanced Science and Technology 121 54-64. 2018.Diabetes is one of the most common diseases worldwide where a cure is not found for it yet. Annually it cost a lot of money to care for people with diabetes. Thus the most important issue is the prediction to be very accurate and to use a reliable method for that. One of these methods is using artificial intelligence systems and in particular is the use of Artificial Neural Networks (ANN). So in this paper, we used artificial neural networks to predict whether a person is diabetic or not. The cr…Read more
-
5524Every person has his/her own unique signature that is used mainly for the purposes of personal identification and verification of important documents or legal transactions. There are two kinds of signature verification: static and dynamic. Static(off-line) verification is the process of verifying an electronic or document signature after it has been made, while dynamic(on-line) verification takes place as a person creates his/her signature on a digital tablet or a similar device. Offline sig…Read more
-
4436The Relationship between Correcting Deviations in Measuring Performance and Achieving the Objectives of Control - The Islamic University as a ModelInternational Journal of Engineering and Information Systems (IJEAIS) 2 (1): 74-89. 2018.The study aimed to identify the relationship between correcting the deviations in the measurement of performance and achieving the objectives of control and the performance of the job at the Islamic University in the Gaza Strip. To achieve the objectives of the research, the researchers used the descriptive analytical approach to collect information. The questionnaire consisted of (20) statements distributed to three categories of employees of the Islamic University (senior management, faculty m…Read more
-
4253Classification of Real and Fake Human Faces Using Deep LearningInternational Journal of Academic Engineering Research (IJAER) 6 (3): 1-14. 2022.Artificial intelligence (AI), deep learning, machine learning and neural networks represent extremely exciting and powerful machine learning-based techniques used to solve many real-world problems. Artificial intelligence is the branch of computer sciences that emphasizes the development of intelligent machines, thinking and working like humans. For example, recognition, problem-solving, learning, visual perception, decision-making and planning. Deep learning is a subset of machine learning in a…Read more
-
3944Strategic and Operational Planning As Approach for Crises Management Field Study on UNRWAInternational Journal of Information Technology and Electrical Engineering 5 (6): 43-47. 2017.The research aims to study the role of strategic and operational planning as approach for crises management in UNRWA - Gaza Strip field- Palestine. Several descriptive analytical methods were used for this purpose and a survey as a tool for data collection. Community size was (881), and the study sample was stratified random (268). The overall findings of the current study show that strategic and operational planning is performed in UNRWA. The results of static analysis show that there are a rel…Read more
-
3430The Impact of Management Requirements and Operations of Computerized MIS to Improve PerformanceAl-Azhar University of Gaza, Palestine 1 1-28. 2016.The research aims to identify the impact of the management requirements on operating of computerized management information systems to improve performance, and discuss the perceptions of respondents to develop the performance of employees in the Gaza Electricity Distribution Company, the researchers used the stratified sample method, (360) questionnaires were distributed on the study sample, (306) questionnaires were recovered with a percentage of (85%). The most important findings of the study:…Read more
-
3368Big Data Analytics in Project Management: A Key to SuccessInternational Journal of Academic Engineering Research (IJAER) 7 (7): 1-8. 2023.This review delves into the influence of big data analytics on project management effectiveness and project success rates. By examining applications, accomplishments, hindrances, and emerging developments in the context of big data analytics and project management, this review provides insights into its transformative potential. Results indicate that big data analytics fosters improved project performance, more robust risk management, and heightened adaptability. However, challenges related to d…Read more
-
3217The research aims to identify the impact of the management requirements on operating of computerized management information systems to improve performance, and discuss the perceptions of respondents to develop the performance of employees in the Gaza Electricity Distribution Company, the researchers used the stratified sample method, (360) questionnaires were distributed on the study sample, (306) questionnaires were recoved with a percentage of (85%). The most important findings of the study…Read more
-
3144Detection of Brain Tumor Using Deep LearningInternational Journal of Academic Engineering Research (IJAER) 6 (3): 29-47. 2022.Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and reacts like humans, some of the computer activities with artificial intelligence are designed to include speech, recognition, learning, planning and problem solving. Deep learning is a collection of algorithms used in machine learning, it is part of a broad family of methods used for machine learning that are based on learning representations of data. Deep l…Read more
-
3113An Intelligent Tutoring System for Teaching Grammar English TensesEuropean Academic Research 4 (9): 1-15. 2016.The evolution of Intelligent Tutoring System (ITS) is the result of the amount of research in the field of education and artificial intelligence in recent years. English is the third most common languages in the world and also is the internationally dominant in the telecommunications, science and trade, aviation, entertainment, radio and diplomatic language as most of the areas of work now taught in English. Therefore, the demand for learning English has increased. In this paper, we describe the…Read more
-
3008Design and Development of an Intelligent Tutoring System for C# LanguageEuropean Academic Research 4 (10). 2017.Learning programming is thought to be troublesome. One doable reason why students don’t do well in programming is expounded to the very fact that traditional way of learning within the lecture hall adds more stress on students in understanding the Material rather than applying the Material to a true application. For a few students, this teaching model might not catch their interest. As a result, they'll not offer their best effort to grasp the Material given. Seeing however the information is ap…Read more
-
2794Type of Tomato Classification Using Deep LearningInternational Journal of Academic Pedagogical Research (IJAPR) 3 (12): 21-25. 2020.Abstract: Tomatoes are part of the major crops in food security. Tomatoes are plants grown in temperate and hot regions of South American origin from Peru, and then spread to most countries of the world. Tomatoes contain a lot of vitamin C and mineral salts, and are recommended for people with constipation, diabetes and patients with heart and body diseases. Studies and scientific studies have proven the importance of eating tomato juice in reducing the activity of platelets in diabetics, whi…Read more
-
2708Potato Classification Using Deep LearningInternational Journal of Academic Pedagogical Research (IJAPR) 3 (12): 1-8. 2020.Abstract: Potatoes are edible tubers, available worldwide and all year long. They are relatively cheap to grow, rich in nutrients, and they can make a delicious treat. The humble potato has fallen in popularity in recent years, due to the interest in low-carb foods. However, the fiber, vitamins, minerals, and phytochemicals it provides can help ward off disease and benefit human health. They are an important staple food in many countries around the world. There are an estimated 200 varieties…Read more
-
2461An Intelligent Tutoring System for Learning Introduction to Computer ScienceInternational Journal of Academic Multidisciplinary Research (IJAMR) 2 (2): 1-8. 2018.The paper describes the design of an intelligent tutoring system for teaching Introduction to Computer Science-a compulsory curriculum in Al-Azhar University of Gaza to students who attend the university. The basic idea of this system is a systematic introduction into computer science. The system presents topics with examples. The system is dynamically checks student's individual progress. An initial evaluation study was done to investigate the effect of using the intelligent tutoring system on …Read more
-
2309Classification of Alzheimer's Disease Using Convolutional Neural NetworksInternational Journal of Academic Information Systems Research (IJAISR) 6 (3): 18-23. 2022.Brain-related diseases are among the most difficult diseases due to their sensitivity, the difficulty of performing operations, and their high costs. In contrast, the operation is not necessary to succeed, as the results of the operation may be unsuccessful. One of the most common diseases that affect the brain is Alzheimer’s disease, which affects adults, a disease that leads to memory loss and forgetting information in varying degrees. According to the condition of each patient. For these reas…Read more
-
2277Prediction of Heart Disease Using a Collection of Machine and Deep Learning AlgorithmsInternational Journal of Engineering and Information Systems (IJEAIS) 6 (4): 1-13. 2022.Abstract: Heart diseases are increasing daily at a rapid rate and it is alarming and vital to predict heart diseases early. The diagnosis of heart diseases is a challenging task i.e. it must be done accurately and proficiently. The aim of this study is to determine which patient is more likely to have heart disease based on a number of medical features. We organized a heart disease prediction model to identify whether the person is likely to be diagnosed with a heart disease or not using the med…Read more
-
2176Gender Prediction from Retinal Fundus Using Deep LearningInternational Journal of Academic Information Systems Research (IJAISR) 6 (5): 57-63. 2022.Deep learning may transform health care, but model development has largely been dependent on availability of advanced technical expertise. The aim of this study is to develop a deep learning model to predict the gender from retinal fundus images. The proposed model was based on the Xception pre-trained model. The proposed model was trained on 20,000 retinal fundus images from Kaggle depository. The dataset was preprocessed them split into three datasets (training, validation, Testing). After tr…Read more
-
2111Electronic Banking Services from the Point of View of Bank Customers in PalestineInternational Journal of Academic Accounting, Finance and Management Research (IJAAFMR) 3 (10): 45-60. 2019.This study aims to identify the electronic banking services in Palestine from the point of view of the customers of the banks, where researchers used the descriptive analytical method, through a questionnaire distributed electronically to the sample of beneficiaries of the electronic banking services provided by banks operating in Palestine. The study reached a number of results, the most important of which are: There is a moderate degree of efficiency of electronic banking services provided in …Read more
-
2087Knowledge Based System for Diagnosing Custard Apple Diseases and TreatmentInternational Journal of Academic Engineering Research (IJAER) 6 (5): 41-45. 2022.There is no doubt that custard apple diseases are among the important reasons that destroy the Custard Apple plant and its agricultural crops. This leads to obvious damage to these plants and they become inedible. Discovering these diseases is a good step to provide the appropriate and correct treatment. Determining the treatment with high accuracy depends on the method used to correctly diagnose the disease, expert systems can greatly help in avoiding damage to these plants. The expert system c…Read more
-
2031Lung Cancer Detection Using Artificial Neural NetworkInternational Journal of Engineering and Information Systems (IJEAIS) 3 (3): 17-23. 2019.In this paper, we developed an Artificial Neural Network (ANN) for detect the absence or presence of lung cancer in human body. Symptoms were used to diagnose the lung cancer, these symptoms such as Yellow fingers, Anxiety, Chronic Disease, Fatigue, Allergy, Wheezing, Coughing, Shortness of Breath, Swallowing Difficulty and Chest pain. They were used and other information about the person as input variables for our ANN. Our ANN established, trained, and validated using data set, which its title …Read more
-
1990Knowledge Management Maturity in Universities and its Impact on Performance Excellence "Comparative study"Journal of Scientific and Engineering Research 3. 2016.The paper assesses Knowledge Management Maturity(KMM) in the universities to determine the impact of knowledge management on performance excellence. This study was applied on Al-Azhar University and Al-Quds Open University in Gaza strip, Palestine. This paper depends on Asian productivity organization model that used to assess KMM. Second dimension which assess performance excellence was developed by the authors. The controlled sample was (610). Several statistical tools were used for data analy…Read more
-
1866Classification of A few Fruits Using Deep LearningInternational Journal of Academic Engineering Research (IJAER) 5 (12): 56-63. 2022.Abstract: Fruits are a rich source of energy, minerals and vitamins. They also contain fiber. There are many fruits types such as: Apple and pears, Citrus, Stone fruit, Tropical and exotic, Berries, Melons, Tomatoes and avocado. Classification of fruits can be used in many applications, whether industrial or in agriculture or services, for example, it can help the cashier in the hyper mall to determine the price and type of fruit and also may help some people to determining whether a certain …Read more
-
1843Measuring knowledge management maturity at HEI to enhance performance-an empirical study at Al-Azhar University in PalestineInternational Journal of Commerce and Management Research 2 (5): 55-62. 2016.This paper aims to assess knowledge management maturity at HEI to determine the most effecting variables on knowledge management that enhance the total performance of the organization. This study was applied on Al-Azhar University in Gaza strip, Palestine. This paper depends on Asian productivity organization model that used to assess KM maturity. Second dimension assess high performance was developed by the authors. The controlled sample was (364). Several statistical tools were used for data a…Read more
-
1820The Role of the Practice of Excellence Strategies in Education to Achieve Sustainable Competitive Advantage to Institutions of Higher Education-Faculty of Engineering and Information Technology at Al-Azhar University in Gaza a ModelInternational Journal of Digital Publication Technology 1 (2): 135-157. 2017.This study aims to look at the role of the practice of excellence strategies in education in achieving sustainable competitive advantage for the Higher educational institutions of the faculty of Engineering and Information Technology at Al-Azhar University in Gaza, a model, and the study considered the competitive advantage of educational institutions stems from the impact on the level of each student, employee, and the institution. The study was based on the premise that the development of stra…Read more
-
1820Comparative Analysis of the Performance of Popular Sorting Algorithms on Datasets of Different Sizes and CharacteristicsInternational Journal of Academic Engineering Research (IJAER) 7 (6): 76-84. 2023.Abstract: The efficiency and performance of sorting algorithms play a crucial role in various applications and industries. In this research paper, we present a comprehensive comparative analysis of popular sorting algorithms on datasets of different sizes and characteristics. The aim is to evaluate the algorithms' performance and identify their strengths and weaknesses under varying scenarios. We consider six commonly used sorting algorithms: QuickSort, TimSort, MergeSort, HeapSort, RadixSort, a…Read more
-
1776Energy Efficiency Prediction using Artificial Neural NetworkInternational Journal of Academic Pedagogical Research (IJAPR) 3 (9): 1-7. 2019.Buildings energy consumption is growing gradually and put away around 40% of total energy use. Predicting heating and cooling loads of a building in the initial phase of the design to find out optimal solutions amongst different designs is very important, as ell as in the operating phase after the building has been finished for efficient energy. In this study, an artificial neural network model was designed and developed for predicting heating and cooling loads of a building based on a dataset …Read more
-
1754ITSB: An Intelligent Tutoring System Authoring ToolJournal of Scientific and Engineering Research 3 (5): 63-71. 2016.Abstract. Intelligent Tutoring System Builder (ITSB) is an authoring tool designed and developed to aid teachers in constructing intelligent tutoring systems in a multidisciplinary fields. The teacher is needed to create a set of pedagogical fundamentals, which, in line, are inured to automatically build up a broad tutor framework and construct an intelligent tutoring system. In this paper an explanation of the theory and the architecture of the tool is outlined. A presentation of several system…Read more
-
1663An Intelligent Tutoring System for Teaching the 7 Characteristics for Living ThingsInternational Journal of Advanced Research and Development 2 (1): 31-35. 2017.Recently, due to the rapid progress of computer technology, researchers develop an effective computer program to enhance the achievement of the student in learning process, which is Intelligent Tutoring System (ITS). Science is important because it influences most aspects of everyday life, including food, energy, medicine, leisure activities and more. So learning science subject at school is very useful, but the students face some problem in learning it. So we designed an ITS system to help them…Read more
Areas of Specialization
Philosophy of Cognitive Science |
Philosophy of Computing and Information |
Other Academic Areas |